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Engineering consortia by polymeric microbial swarmbots
Synthetic microbial consortia represent a new frontier for synthetic biology given that they can solve more complex problems than monocultures. However, most attempts to co-cultivate these artificial communities fail because of the winner-takes-all in nutrients competition. In soil, multiple species...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256712/ https://www.ncbi.nlm.nih.gov/pubmed/35790722 http://dx.doi.org/10.1038/s41467-022-31467-1 |
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author | Wang, Lin Zhang, Xi Tang, Chenwang Li, Pengcheng Zhu, Runtao Sun, Jing Zhang, Yunfeng Cui, Hua Ma, Jiajia Song, Xinyu Zhang, Weiwen Gao, Xiang Luo, Xiaozhou You, Lingchong Chen, Ye Dai, Zhuojun |
author_facet | Wang, Lin Zhang, Xi Tang, Chenwang Li, Pengcheng Zhu, Runtao Sun, Jing Zhang, Yunfeng Cui, Hua Ma, Jiajia Song, Xinyu Zhang, Weiwen Gao, Xiang Luo, Xiaozhou You, Lingchong Chen, Ye Dai, Zhuojun |
author_sort | Wang, Lin |
collection | PubMed |
description | Synthetic microbial consortia represent a new frontier for synthetic biology given that they can solve more complex problems than monocultures. However, most attempts to co-cultivate these artificial communities fail because of the winner-takes-all in nutrients competition. In soil, multiple species can coexist with a spatial organization. Inspired by nature, here we show that an engineered spatial segregation method can assemble stable consortia with both flexibility and precision. We create microbial swarmbot consortia (MSBC) by encapsulating subpopulations with polymeric microcapsules. The crosslinked structure of microcapsules fences microbes, but allows the transport of small molecules and proteins. MSBC method enables the assembly of various synthetic communities and the precise control over the subpopulations. These capabilities can readily modulate the division of labor and communication. Our work integrates the synthetic biology and material science to offer insights into consortia assembly and serve as foundation to diverse applications from biomanufacturing to engineered photosynthesis. |
format | Online Article Text |
id | pubmed-9256712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92567122022-07-07 Engineering consortia by polymeric microbial swarmbots Wang, Lin Zhang, Xi Tang, Chenwang Li, Pengcheng Zhu, Runtao Sun, Jing Zhang, Yunfeng Cui, Hua Ma, Jiajia Song, Xinyu Zhang, Weiwen Gao, Xiang Luo, Xiaozhou You, Lingchong Chen, Ye Dai, Zhuojun Nat Commun Article Synthetic microbial consortia represent a new frontier for synthetic biology given that they can solve more complex problems than monocultures. However, most attempts to co-cultivate these artificial communities fail because of the winner-takes-all in nutrients competition. In soil, multiple species can coexist with a spatial organization. Inspired by nature, here we show that an engineered spatial segregation method can assemble stable consortia with both flexibility and precision. We create microbial swarmbot consortia (MSBC) by encapsulating subpopulations with polymeric microcapsules. The crosslinked structure of microcapsules fences microbes, but allows the transport of small molecules and proteins. MSBC method enables the assembly of various synthetic communities and the precise control over the subpopulations. These capabilities can readily modulate the division of labor and communication. Our work integrates the synthetic biology and material science to offer insights into consortia assembly and serve as foundation to diverse applications from biomanufacturing to engineered photosynthesis. Nature Publishing Group UK 2022-07-05 /pmc/articles/PMC9256712/ /pubmed/35790722 http://dx.doi.org/10.1038/s41467-022-31467-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Lin Zhang, Xi Tang, Chenwang Li, Pengcheng Zhu, Runtao Sun, Jing Zhang, Yunfeng Cui, Hua Ma, Jiajia Song, Xinyu Zhang, Weiwen Gao, Xiang Luo, Xiaozhou You, Lingchong Chen, Ye Dai, Zhuojun Engineering consortia by polymeric microbial swarmbots |
title | Engineering consortia by polymeric microbial swarmbots |
title_full | Engineering consortia by polymeric microbial swarmbots |
title_fullStr | Engineering consortia by polymeric microbial swarmbots |
title_full_unstemmed | Engineering consortia by polymeric microbial swarmbots |
title_short | Engineering consortia by polymeric microbial swarmbots |
title_sort | engineering consortia by polymeric microbial swarmbots |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256712/ https://www.ncbi.nlm.nih.gov/pubmed/35790722 http://dx.doi.org/10.1038/s41467-022-31467-1 |
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